SKU: 97929694846

KW DDC-ECU Gewindefahrwerk INOX passend für Leon 5F

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Description

KW DDC-ECU Gewindefahrwerk INOX passend für Leon 5FKW DDC ECU Gewindefahrwerk Bitte entsprechende Achslast auswhlen! Fr Fahrzeuge mit: Klemmdurchmesser 50mm Mehrlenker Einzelradaufhngung Tieferlegung VA HA (mm) 35 65 35 65 KW Dynamic Damping Control ECU Individualitt auf Knopfdruck. Die KW DDC Gewindefahrwerke sind die intelligente Fahrwerklsung zum Nachrsten aus dem KW iSuspension Lieferprogramm. Sie kombinieren die Vorteile eines adaptiven Dmpfungssystems mit einer fahrzeugspezifischen sportlich

KW DDC-ECU Gewindefahrwerk 

- Bitte entsprechende Achslast auswählen!


Für Fahrzeuge mit:

-Klemmdurchmesser Ø50mm

-Mehrlenker/Einzelradaufhängung

-Tieferlegung VA / HA (mm)     35-65 / 35-65

 

KW Dynamic Damping Control ECU Individualität auf Knopfdruck.
Die KW DDC Gewindefahrwerke sind die intelligente Fahrwerklösung zum Nachrüsten aus dem KW iSuspension Lieferprogramm. Sie kombinieren die Vorteile eines adaptiven Dämpfungssystems mit einer fahrzeugspezifischen sportlich-harmonischen Dämpfercharakteristik mit einer stilechten und sportlichen Tieferlegung. Erhältlich sind die adaptiven KW Gewindefahrwerke in der Ausführung KW DDC ECU mit optionaler App-Steuerung für Fahrzeuge ohne aktiv regelndes Serienfahrwerk und als KW DDC Plug & Play Variante für ausgewählte Fahrzeugmodelle mit adaptivem Serienfahrwerk.
Die adaptiven KW DDC ECU Gewindefahrwerke erlauben eine stufenlose Tieferlegung im geprüften Verstellbereich. Dank des schmutzunempfindlichen Trapezgewindes und dem Polyamid-Gewindering kann die stufenlose Tieferlegung auch nach Jahren schnell und leicht variiert werden. Die Tieferlegung erfolgt fahrzeugbedingt entweder an den radführenden KW Edelstahl-Federbeinen oder bei nicht radführenden Doppelquerlenkerhinterachsen an der Hinterachshöhenverstellung. Egal wo auf der Welt, sportliche Autofahrer, Automobilmanufakturen und Veredler vertrauen auf unsere KW Technologie "Made in Germany".
Jedes KW Gewindefahrwerk wird in der Produktion ausgiebigen Belastungstests unterzogen und direkt in unserem Firmenstammsitz im schwäbischen Fichtenberg entwickelt und gefertigt, um die hohen Standards unseres KW Qualitätsmanagements zu erfüllen. So ist es für uns als deutscher Hersteller eine Selbstverständlichkeit auf unsere, die Erstausrüsterqualität übertreffenden KW Gewindefahrwerke und über 4.600 Anwendungen umfassenden Fahrwerklösungen eine mehrjährige Garantie zu gewährleisten. Sie beträgt beim Einbau bei einem unserer KW Fachhandelspartner bis zu fünf Jahren. Aktuell sind die adaptiven KW DDC ECU Gewindefahrwerke mit App-Steuerung für Audi, BMW, Mercedes-Benz, Porsche, VW und viele andere Fahrzeuge wie dem Range Rover Evoque lieferbar.

- nachrüstbare elektronische Dämpferverstellung, kombiniert mit den Vorteilen eines KW Gewindefahrwerks
- mit optionaler App-Steuerung
- drei Dämpfungssetups: Comfort / Sport / Sport +
- Bedienung über Nachrüsttaster oder optionale App
- per KW DDC App eigene Setups intuitiv erstellen


KW DDC Taster - 1x Taster, 3x mehr erfahren
Der Lieferumfang des KW DDC ECU Gewindefahrwerks beinhaltet auch einen KW DDC Taster. Dieser erlaubt es auf Wunsch die KW DDC Fahrmodi "Comfort", "Sport" und "Sport+" direkt vom Cockpit auszuwählen. Hierbei ändert der KW DDC Taster den Farbton passend zur KW DDC APP.

W-LAN Modul & App-Steuerung
Optional erhältliche App-Steuerung zur live Fahrwerksabstimmung per iPhone, iPod touch, iPad.
Erleben Sie Innovation und Qualität der Extraklasse "Made in Germany": das KW DDC (Dynamic Damping Control) Gewindefahrwerk mit ECU (Electronic Control Unit). Das Gewindefahrwerk mit seinen elektronisch regelbaren Dämpfern ermöglicht eine intelligente Fahrwerkabstimmung per App-Steuerung und ist bereits für zahlreiche Fahrzeuge ohne adaptives Serienfahrwerk lieferbar.
Dadurch können Sie Ihr Fahrzeug mit einer adaptiven Dämpfersteuerung aufwerten und optional per KW DDC App auf Ihre Fahrweise anpassen. Sie benötigen dazu kein Werkzeug oder müssen an den Dämpfern selbst Hand anlegen.
Die kostenlose KW DDC App in Verbindung mit unserem optional erhältlichen W-Lan Modul bilden Ihr Hilfsmittel, um eine individuelle Dämpferabstimmung live und in Echtzeit vorzunehmen. 


Bei Fahrzeugen mit elektronischer Dämpferregelung muss diese stillgelegt werden. Fahrzeugspezifische KW Stilllegungssätze finden Sie im Shop.

Technische Informationen:

- Marke : KW

- Artikelnummer : 39081009/39081010

- Edelstahltechnik inox-line
- Individuelle, stufenlose Tieferlegung
- Lieferumfang: VA Gewindefederbeine , HA Federn & Dämpfer + Steuergerät
Achslast VA/HA (kg) -bitte oben Auswählen /-1010
- hochwertige Bauteile für lange Lebensdauer
Zulassung : Teilegutachten (§19.3)


Hinweis: Die Abbildung kann vom gelieferten Produkt abweichen

Achslast VA -965kg

SEAT LEON (5F1) 09/2012- 1.0 TSi Schrägheck Benzin 63 KW 999 ccm 3 Frontantrieb
SEAT LEON (5F1) 09/2012- 1.0 TSI Schrägheck Benzin 85 KW 999 ccm 3 Frontantrieb
SEAT LEON (5F1) 09/2012- 1.2 TSI Schrägheck Benzin 63 KW 1197 ccm 4 Frontantrieb
SEAT LEON (5F1) 09/2012- 1.2 TSI Schrägheck Benzin 77 KW 1197 ccm 4 Frontantrieb
SEAT LEON (5F1) 09/2012- 1.2 TSI Schrägheck Benzin 81 KW 1197 ccm 4 Frontantrieb
SEAT LEON (5F1) 09/2012- 1.4 TSI Schrägheck Benzin 90 KW 1395 ccm 4 Frontantrieb
SEAT LEON (5F1) 09/2012- 1.4 TSI Schrägheck Benzin 92 KW 1395 ccm 4 Frontantrieb
SEAT LEON (5F1) 09/2012- 1.4 TSI Schrägheck Benzin 103 KW 1395 ccm 4 Frontantrieb
SEAT LEON (5F1) 09/2012- 1.4 TSI Schrägheck Benzin 110 KW 1395 ccm 4 Frontantrieb
SEAT LEON (5F1) 09/2012- 1.5 TSI Schrägheck Benzin 96 KW 1495 ccm 4 Frontantrieb
SEAT LEON (5F1) 09/2012- 1.5 TSI Schrägheck Benzin 110 KW 1495 ccm 4 Frontantrieb
SEAT LEON (5F1) 09/2012- 1.6 TDI Schrägheck Diesel 66 KW 1598 ccm 4 Frontantrieb
SEAT LEON (5F1) 09/2012- 1.6 TDI Schrägheck Diesel 81 KW 1598 ccm 4 Frontantrieb
SEAT LEON (5F1) 09/2012- 1.6 TDI Schrägheck Diesel 85 KW 1598 ccm 4 Frontantrieb
SEAT LEON (5F1) 09/2012- 1.8 TSI Schrägheck Benzin 132 KW 1798 ccm 4 Frontantrieb
SEAT LEON SC (5F5) 01/2013- 1.0 TSI Coupe Benzin 85 KW 999 ccm 3 Frontantrieb
SEAT LEON SC (5F5) 01/2013- 1.2 TSI Coupe Benzin 63 KW 1197 ccm 4 Frontantrieb
SEAT LEON SC (5F5) 01/2013- 1.2 TSI Coupe Benzin 77 KW 1197 ccm 4 Frontantrieb
SEAT LEON SC (5F5) 01/2013- 1.2 TSI Coupe Benzin 81 KW 1197 ccm 4 Frontantrieb
SEAT LEON SC (5F5) 01/2013- 1.4 TSI Coupe Benzin 90 KW 1395 ccm 4 Frontantrieb
SEAT LEON SC (5F5) 01/2013- 1.4 TSI Coupe Benzin 92 KW 1395 ccm 4 Frontantrieb
SEAT LEON SC (5F5) 01/2013- 1.4 TSI Coupe Benzin 103 KW 1395 ccm 4 Frontantrieb
SEAT LEON SC (5F5) 01/2013- 1.4 TSI Coupe Benzin 110 KW 1395 ccm 4 Frontantrieb
SEAT LEON SC (5F5) 01/2013- 1.6 TDI Coupe Diesel 66 KW 1598 ccm 4 Frontantrieb
SEAT LEON SC (5F5) 01/2013- 1.6 TDI Coupe Diesel 81 KW 1598 ccm 4 Frontantrieb
SEAT LEON SC (5F5) 01/2013- 1.6 TDI Coupe Diesel 85 KW 1598 ccm 4 Frontantrieb
SEAT LEON SC (5F5) 01/2013- 1.8 TSI Coupe Benzin 132 KW 1798 ccm 4 Frontantrieb
SEAT LEON SC (5F5) 01/2013- 2.0 TDI Coupe Diesel 81 KW 1968 ccm 4 Frontantrieb

Achslast VA 965kg-1090kg

SEAT LEON (5F1) 09/2012- 1.6 TDI Schrägheck Diesel 66 KW 1598 ccm 4 Frontantrieb
SEAT LEON (5F1) 09/2012- 1.6 TDI Schrägheck Diesel 77 KW 1598 ccm 4 Frontantrieb
SEAT LEON (5F1) 09/2012- 1.6 TDI Schrägheck Diesel 81 KW 1598 ccm 4 Frontantrieb
SEAT LEON (5F1) 09/2012- 1.6 TDI Schrägheck Diesel 85 KW 1598 ccm 4 Frontantrieb
SEAT LEON (5F1) 09/2012- 1.8 TSI Schrägheck Benzin 132 KW 1798 ccm 4 Frontantrieb
SEAT LEON (5F1) 09/2012- 2.0 TDI Schrägheck Diesel 81 KW 1968 ccm 4 Frontantrieb
SEAT LEON (5F1) 09/2012- 2.0 TDI Schrägheck Diesel 105 KW 1968 ccm 4 Frontantrieb
SEAT LEON (5F1) 09/2012- 2.0 TDI Schrägheck Diesel 110 KW 1968 ccm 4 Frontantrieb
SEAT LEON (5F1) 09/2012- 2.0 TDI Schrägheck Diesel 135 KW 1968 ccm 4 Frontantrieb
SEAT LEON (5F1) 09/2012- 2.0 TSI Schrägheck Benzin 140 KW 1984 ccm 4 Frontantrieb
SEAT LEON SC (5F5) 01/2013- 1.6 TDI Coupe Diesel 66 KW 1598 ccm 4 Frontantrieb
SEAT LEON SC (5F5) 01/2013- 1.6 TDI Coupe Diesel 77 KW 1598 ccm 4 Frontantrieb
SEAT LEON SC (5F5) 01/2013- 1.6 TDI Coupe Diesel 81 KW 1598 ccm 4 Frontantrieb
SEAT LEON SC (5F5) 01/2013- 1.6 TDI Coupe Diesel 85 KW 1598 ccm 4 Frontantrieb
SEAT LEON SC (5F5) 01/2013- 1.8 TSI Coupe Benzin 132 KW 1798 ccm 4 Frontantrieb
SEAT LEON SC (5F5) 01/2013- 2.0 TDI Coupe Diesel 81 KW 1968 ccm 4 Frontantrieb
SEAT LEON SC (5F5) 01/2013- 2.0 TDI Coupe Diesel 81 KW 1968 ccm 4 Frontantrieb
SEAT LEON SC (5F5) 01/2013- 2.0 TDI Coupe Diesel 105 KW 1968 ccm 4 Frontantrieb
SEAT LEON SC (5F5) 01/2013- 2.0 TDI Coupe Diesel 110 KW 1968 ccm 4 Frontantrieb
SEAT LEON SC (5F5) 01/2013- 2.0 TDI Coupe Diesel 135 KW 1968 ccm 4 Frontantrieb

 

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SKU: 97929694846

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4.3 ★★★★★
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Product Reviews
B
Brahmananda Reddy
West Palm Beach, US
★★★★★ 5
Practical AI Engineering Beyond Prompts — One of the Better Books on Agentic Coding
Format: Paperback
This book is not another “AI coding hype” book. A lot of books talk about agents at a very high level. This one actually explains how things work when you try to use them inside real development workflows. That was the biggest difference for me. What I liked most was the focus on context engineering, memory, MCP, hooks, subagents, and workflow orchestration instead of just “prompt better.” The author spends time explaining why long-running agent systems fail, how context grows over time, and why most AI coding setups become messy without structure. The examples also feel practical — The HookHub project, Next.js setup, GitHub workflows, Claude memory files, and MCP integrations make it easier to connect theory with actual implementation. From my retail domain experience perspective, I could immediately connect this to forecasting and pricing workflows. For example: * agents helping analysts generate specs before model development * automated code review for promo forecasting pipelines * isolated subagents for pricing, promotions, assortment * persistent memory for business rules across teams * MCP integrations to pull context from internal systems safely The section around context isolation and subagents especially stood out because that is very similar to how enterprise forecasting teams already operate in reality. Different teams own different decision spaces. One thing I appreciated: the author does not oversell AI. There is a strong focus on constraints, context pollution, hallucinations, performance degradation, and workflow reliability. That makes the book feel grounded instead of marketing-heavy. This is not for complete beginners though. If someone has never worked with Git, APIs, coding agents, or LLM workflows, parts of the book may feel overwhelming early on. The author clearly says this is not beginner-level content. Overall, probably one of the more practical books I have read recently on agentic coding systems. Good for: * software engineers * AI engineers * enterprise architecture teams * technical product teams * analytics leaders trying to operationalize AI development workflows Especially useful if your organization is trying to move from “AI demos” into actual production workflows.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 20, 2026
U
UA
Draper, US
★★★★★ 5
A Good Reality Check on How AI Agents Actually Work in Enterprise Systems
Format: Paperback
Most AI books stop at prompts. This one goes deeper into how agent systems actually behave once you try to use them inside large workflows with memory, tools, permissions, automation, and multiple agents working together. That part felt very relevant for healthcare and enterprise environments. The book does a good job explaining why context engineering matters and how poor context handling creates hallucinations, inconsistent outputs, and degraded performance over time. Honestly, that is one of the biggest problems organizations underestimate right now. In healthcare workflows, context matters a lot: * prior interactions * business rules * auditability * escalation logic * safety constraints * tool permissions * workflow boundaries The sections on persistent memory, scoped context, subagents, and structured workflows connected strongly to that reality. I work in enterprise analytics, and while reading this book I kept thinking about use cases like: * pharmacy workflow automation * prior authorization support systems * coding assistants for healthcare engineering teams * AI copilots for operational analytics * agent-based escalation systems * claims and workflow orchestration The MCP chapters were also useful because they explain integration challenges clearly instead of treating tooling as magic. What made this book stand out for me was the balance between implementation and architecture. The author explains: * why long contexts fail * how context poisoning happens * why isolation matters * when parallel agents help * when they actually create more complexity That level of honesty is missing in many AI books right now. Another thing: the examples are not overly academic — The Next.js project setup, GitHub automation, Claude desktop workflows, memory systems, hooks, and subagents make the learning process feel practical and hands-on. One limitation: this book assumes technical background. Someone completely new to coding agents, LLMs, Git, or development workflows may struggle in the first few chapters. But for engineers, AI teams, enterprise architects, and technical leaders trying to understand where agentic coding is actually going, this book is worth reading. Especially for organizations trying to operationalize AI safely instead of just experimenting with chatbots.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 20, 2026
C
Christopher West
Cuba, US
★★★★★ 5
Great book! Practical and for developers that already use AI!
Format: Paperback
I purchased "Agentic Coding" by Claude Code due to my desire for an alternative to generic "Prompt Template" type resources related to AI-based development. This book accomplishes just that. As opposed to merely viewing Claude Code as a "magic box", the author has explained how to utilize it in conjunction with other actual development processes. The authors' emphasis on "context engineering" (i.e., structuring data/information; managing knowledge in a project; guiding an AI agent to produce consistent results vs. producing random/unknown results) represents the strongest component of the book. It should be noted that the book appears to be intended primarily for experienced developers with prior experience in software development and/or familiarity with AI-based development tools. Should you be familiar with Git, the command-line interface, and/or modern development processes, you may find this resource very helpful. Conversely, I did appreciate the fact that there were no novice-oriented descriptions provided throughout the book. The aspect of the book that I found most valuable, however, is the extremely pragmatic nature of the material contained within. The examples illustrated through developing/maintaining CLAUDE.md files; utilizing Claude Code in combination with GitHub Workflows; employing MCP Servers; and creating multi-agent or sub-agent workflows all seemed to reflect a clear focus on "real world usage" rather than theoretical constructs. In addition, each chapter builds upon previous chapters in such a manner as to provide a logical progression through which the reader can easily understand and ultimately implement the concepts learned. I also appreciated that the author included guidance on responsible utilization of the tool(s), as well as maintaining control over what changes are made by the agent. While numerous books regarding AI focus solely on what AI tools can accomplish, this book addresses both how to utilize these tools effectively in a real codebase, as well as responsibility and safety considerations. In summary, this is not a book for individuals completely inexperienced in either programming or generative AI. However, if you are currently experimenting with tools such as Claude, Cursor, GitHub Actions, or MCP, this is likely one of the more useful and practical books available on the subject. Recommended for software engineers seeking to transition from simply "prompting an AI" into establishing a repeatable/professional workflow process surrounding agentic coding.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 11, 2026
P
Paul Pollock
West Palm Beach, US
★★★★★ 4
⭐⭐⭐⭐ (so far)
Format: Paperback
I'm maybe a third of the way through this and already rethinking how I talk to coding agents. The reframe from "prompt engineering" to "context engineering" sounds like semantics until Marco walks you through why context poisoning, context clash, the Goldilocks zone for system prompts. That chapter alone reorganized something in my head. I keep going back to the line about garbage in, garbage out being the real reason agentic systems underperform. The hands-on stuff lands well too. Building the HookHub project from scratch, wiring up Playwright MCP, watching Claude generate a CLAUDE.md file and then not automatically loading a memory file you just created — that moment where you expect magic and get silence instead? That's the kind of honest teaching I appreciate. It made the "why" behind memory hierarchies click.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 12, 2026
J
Jonathan Reeves
Carnegie, US
★★★★★ 5
Essential Reading for Developers Serious About Agentic AI Workflows with Claude Code
Format: Paperback
Agentic Coding with Claude Code is easily one of the most practical and forward-thinking AI development books I’ve read. Instead of treating Claude Code like a simple chatbot, this book shows how to turn it into a true agentic development platform capable of handling real-world engineering workflows. What I appreciated most was how actionable the content is. The explanations around slash commands, hooks, persistent memory files, and MCP servers are incredibly clear and immediately useful. The author does an excellent job balancing foundational concepts with hands-on implementation, making advanced topics like multi-agent orchestration and hierarchical delegation approachable for experienced developers. The chapters on MCP and context engineering were especially valuable. Most AI books stay at the surface level, but this one dives deep into structured context sharing, workflow automation, and scalable AI-assisted development practices that actually matter in production environments. I also liked that the book focuses heavily on maintainability and control. It doesn’t just show flashy demos—it teaches how to safely integrate AI agents into existing terminal and IDE workflows while enforcing coding standards and keeping projects organized. The examples using Claude Code with Next.js projects were practical and helped connect the concepts to real software engineering scenarios. The sections on subagents, planning workflows, and reusable automation patterns opened my eyes to entirely new ways of approaching AI pair programming and development productivity. If you are a developer, AI engineer, or technical lead looking to move beyond basic prompt engineering and build reliable, scalable AI-assisted workflows, this book is absolutely worth reading. Highly recommended for anyone serious about modern agentic coding and AI-powered software development.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 9, 2026

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